Correlation Between Aumann AG and Alfa Laval
Can any of the company-specific risk be diversified away by investing in both Aumann AG and Alfa Laval at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Aumann AG and Alfa Laval into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aumann AG and Alfa Laval AB, you can compare the effects of market volatilities on Aumann AG and Alfa Laval and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Aumann AG with a short position of Alfa Laval. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aumann AG and Alfa Laval.
Diversification Opportunities for Aumann AG and Alfa Laval
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Aumann and Alfa is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Aumann AG and Alfa Laval AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alfa Laval AB and Aumann AG is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Aumann AG are associated (or correlated) with Alfa Laval. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alfa Laval AB has no effect on the direction of Aumann AG i.e., Aumann AG and Alfa Laval go up and down completely randomly.
Pair Corralation between Aumann AG and Alfa Laval
If you would invest 4,548 in Alfa Laval AB on August 30, 2024 and sell it today you would earn a total of 0.00 from holding Alfa Laval AB or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Aumann AG vs. Alfa Laval AB
Performance |
Timeline |
Aumann AG |
Alfa Laval AB |
Aumann AG and Alfa Laval Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aumann AG and Alfa Laval
The main advantage of trading using opposite Aumann AG and Alfa Laval positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aumann AG position performs unexpectedly, Alfa Laval can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Alfa Laval will offset losses from the drop in Alfa Laval's long position.Aumann AG vs. Alfa Laval AB | Aumann AG vs. Arista Power | Aumann AG vs. Atlas Copco AB | Aumann AG vs. American Commerce Solutions |
Alfa Laval vs. Parker Hannifin | Alfa Laval vs. Eaton PLC | Alfa Laval vs. Dover | Alfa Laval vs. Illinois Tool Works |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
Other Complementary Tools
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios |